I currently have a select statement that is causing me issues, i have two tables:
Customer table
ID Month4Value Month5Value
1 24 5
Orders table
ID Year Month Value Quantity
1 2018 8 10 2
1 2018 4 2 1
1 2018 6 10 4
1 2018 4 7 3
I currently have the below view:
Create View Values as
Select ID, Year, Month, ROUND(SUM(Value*Quantity),2) as NewQuantity
FROM Orders
GROUP BY ID, Year, Month
The below select statement is what i am trying to run
Select Customer.ID, Customer.Month5Value, NewQuantity
from Customer inner join Values on Customer.ID = Values.ID
where ROUND(Customer.Month5Value, 2) <> ROUND(NewQuantity,2)
AND Values.Year = 2018
AND Values.Month = 5
What i am trying to achieve is to find any mismatches between the Orders table and the Customer table. In the above example, what i am expecting is to highlight that the value in Customer.Month5Value does not match the total of the (Quantity*Value) from the Orders table.
As there are 0 orders for Month 5 in the Orders Table, the Month5Value should be 0. However, it returns no entrys.
Any thoughts about what i have missed?
EDIT -
I have updated my query to this:
Select Customer.ID, Customer.Month5Value, NewQuantity
from Customer left join Values on Customer.ID = Values.ID
where ROUND(Customer.Month5Value, 2) <> ISNULL((Select NewQuantity from Customer left join Values on Customer.ID = Values.ID where Values.Month = 5 and Values.Year = 2018),0)
This has given me a list of IDs which have an incorrect amount in Month5Value on the Customer table, but displays lines for each month entry
ID Month5Value NewQuantity
1 5 24
1 5 40
1 5 20
How can i adjust this so that I get one line per ID with the correct value for NewQuantity (either 0 or NULL in this case)?
I think the INNER JOIN is removing any records which are missing from VALUES. Replacing the INNER JOIN with LEFT JOIN may give the result you are looking for.
Related
Let's say i have two tables
Customer
---
Id Name
1 Foo
2 Bar
and
CustomerPurchase
---
CustomerId, Amount, AmountVAT, Accountable(bit)
1 10 11 1
1 20 22 0
2 5 6 0
2 2 3 0
I need a single record for every joined and grouped Customer and CustomerPurchase group.
Every record would contain
columns from table Customer
some aggregation functions like SUM
a 'calculated' column. For example difference of other columns
result of subquery to CustomerPurchase table
An example of result i would like to get
CustomerPurchases
---
Name Total TotalVAT VAT TotalAccountable
Foo 30 33 3 10
Bar 7 9 2 0
I was able to get a single row only by grouping by all the common columns, which i dont think is the right way to do. Plus i have no idea how to do the 'VAT' column and 'TotalAccountable' column, which filters out only certain rows of CustomerPurchase, and then runs some kind of aggregate function on the result. Following example doesn't work ofc but i wanted to show what i would like to achieve
select C.Name,
SUM(CP.Amount) as 'Total',
SUM(CP.AmountVAT) as 'TotalVAT',
diff? as 'VAT',
subquery? as 'TotalAccountable'
from Customer C
inner join CustomerPurchase CR
on C.Id = CR.CustomerId
group by C.Id
I would suggest you just need the follow slight changes to your query. I would also consider for clarity, if you can, to use the terms net and gross which is typical for prices excluding and including VAT.
select c.[Name],
Sum(cp.Amount) as Total,
Sum(cp.AmountVAT) as TotalVAT,
Sum(cp.AmountVAT) - Sum(CP.Amount) as VAT,
Sum(case when cp.Accountable = 1 then cp.Amount end) as TotalAccountable
from Customer c
join CustomerPurchase cp on cp.CustomerId = c.Id
group by c.[Name];
This code works. However, I want to run it without the filter for contract_No and then it doesn't work:-(. I'm sure im missing a left join and some steps.
Basically I have Contracts and contract lines (same table - Contract_repo), and I want to create a grouping of contract lines based on how many payments they have had last 12 months (different table on another level - Payments - and then count contract lines per group and rolled up to contract_No level.
Select a.Contract_No,count (*) as "Active Contract Lines",
(select count(distinct b.Contract_Line_No)
from Payments b
where b.Contract_NO = 32778
and b.Contract_Line_No=(
select distinct
case when Count(
Case when MONTHS_BETWEEN((CURRENT DATE - 1 MONTH),c.Period) < 11
then 1 end
)=0
then c.Contract_Line_No end
)
from Payments c
where c.Contract_No = b.Contract_No
group by c.Contract_Line_No
) as "Contract_Line = 0 trx L12M"
from Contract_Repo a
where a.Contract_NO = 32778
and a.status = 1
group by a.Contract_NO
This is my desired output:
Contract_No
Active Lines
Lines with zero trx
Lines with 12 trx
12345
1000
600
400
67894
100
10
90
101112
500
100
400
So I've tried many other attempts at answers around this topic from here and so far everything has either outright failed or not given me the result I'm after:
I have a select statement to use for a report that brings through delivery information. The result set is from a main table that only has one line per delivery number (the delivery header record) and within the dataset there is also a field called palletspaces which we use to indicate (you guessed it) how many pallets are needed for the delivery
What I now need to do is the following:
find that palletspaces number
return the single delivery record the same number of times as that palletspaces number
include a new column in the results that counts up to that palletspaces number
so for instance, my SQL will return every record from the deliveries table and would look something like this
id traderid toaddressid county postcode palletspaces
D-124597 2101 2 READING RG6 1AZ 3
D-124600 20060 12 MAGOR, GWENT NP26 3DF 1
D-124601 20060 13 RUGBY CV23 8YH 2
So now, I'd need to see that palletspaces number, then return the particular line that many times and then also have a new column that counts these instances:
id traderid toaddressid county postcode palletspaces LineCount
D-124597 2101 2 READING RG6 1AZ 3 1
D-124597 2101 2 READING RG6 1AZ 3 2
D-124597 2101 2 READING RG6 1AZ 3 3
D-124600 20060 12 MAGOR, GWENT NP26 3DF 1 1
D-124601 20060 13 RUGBY CV23 8YH 2 1
D-124601 20060 13 RUGBY CV23 8YH 2 2
The other thing to mention is that naturally I'll have hundreds of different delivery records (all returned as one line each) and all will have differing palletspaces numbers. And of course stating the obvious I need the line to only replicate and count based on it's own palletspaces number
The SQL in use is as below
select
deliveries.id,
deliveries.traderid,
customers.name,
deliveries.toaddressid,
deliveries.eutransportid,
deliveries.street,
deliveries.city,
deliveries.county,
deliveries.postcode,
delivery_custom.palletspaces,
ectransport.ectranspdesc
from deliveries
INNER JOIN customers ON
deliveries.traderid = customers.id
INNER JOIN delivery_custom ON
deliveries.id = delivery_custom.id
INNER JOIN ectransport ON
deliveries.eutransportid = ectransport.ectranspcode
Try like this:
select deliveries.id,
deliveries.traderid,
customers.name,
deliveries.toaddressid,
deliveries.eutransportid,
deliveries.street,
deliveries.city,
deliveries.county,
deliveries.postcode,
delivery_custom.palletspaces,
ectransport.ectranspdesc
INTO #MyTemp
from deliveries
INNER JOIN customers ON
deliveries.traderid = customers.id
INNER JOIN delivery_custom ON
deliveries.id = delivery_custom.id
INNER JOIN ectransport ON
deliveries.eutransportid = ectransport.ectranspcode
;WITH CTE AS(
SELECT id,traderid,toaddressid,county,postcode,palletspaces,1 AS LineCount
FROM #MyTemp
UNION ALL
SELECT id,traderid,toaddressid,county,postcode,palletspaces,LineCount+1
FROM CTE
WHERE LineCount<palletspaces
)
SELECT *
FROM CTE
ORDER BY id, LineCount;
DROP TABLE #MyTemp
Hope this time you get it.
Using Recursive CTE, we can achieve this:
DECLARE #TAB TABLE ([D Number] VARCHAR(20) ,customer INT, postcode VARCHAR(20), palletspaces INT)
INSERT INTO #TAB VALUES('D-123456' ,19114, 'DA12 1TF' , 4)
INSERT INTO #TAB VALUES('D-111111' ,19114, 'DDDD 1TF' , 3)
;WITH CTE AS(
SELECT [D Number],customer,postcode,palletspaces,1 AS A
FROM #TAB
UNION ALL
SELECT [D Number],customer,postcode,palletspaces,A+1
FROM CTE
WHERE A<palletspaces
)
SELECT *
FROM CTE
ORDER BY [D Number], LineCount;
Output:
D Number customer postcode palletspaces LineCount
D-123456 19114 DA12 1TF 4 1
D-123456 19114 DA12 1TF 4 2
D-123456 19114 DA12 1TF 4 3
D-123456 19114 DA12 1TF 4 4
I have a table containing monthly statistics for clients.
Columns are CustNo, Year, Month, Trips
Some customers do not have any trips in some months and therefore there are combinations of CustNo, Year and Month that have no rows in that table.
I am trying to write a Query that shows 0 for those combinations of CustNo, Year and Month that have no trips, instead of producing an empty row.
To start with I have created a ValidPeriods table that has a Year and a Month column containing those periods that are valid.
I can then Query like this:
SELECT v.ValidYear, v.ValidMonth, tc.CustNo, tc.Trips
FROM ValidPeriods v
LEFT OUTER JOIN TempTrips AS tc ON v.ValidYear = tc.Year
AND v.ValidMonth = tc.Month
WHERE tc.CustNo IN (1001230, 1001286, 1001292)
This will give me rows for all periods, with 1 row with NULL values for those periods where there are no customers in the list that have any trips.
But how do I get one row for each customer in the list for all periods?
Ideally I want this:
2016 1 1001230 0
2016 1 1001286 14
2016 1 1001292 23
2016 2 1001230 7
2016 2 1001286 0
2016 2 1001292 4
etc...
Generate the rows using cross join. Then fill in the values using left join:
SELECT ym.ValidYear, ym.ValidMonth, c.CustNo, COALESCE(tt.Trips, 0)
FROM ValidPeriods ym CROSS JOIN
(VALUES (1001230), (1001286), (1001292)) c(CustNo) LEFT JOIN
TempTrips tt
ON tt.ValidYear = ym.ValidYear AND tt.ValidMOnth = ym.ValidMonth AND
tt.CustNo = c.CustNo;
I've been roasting my brain with my limited SQL knowledge while attempting to come up with a query to run a statistic on my orders database.
Table ORDERS is laid out like this:
CustomerID ProductID (etc)
1 10
1 10
1 11
2 10
4 9
Each purchase is recorded with the customer id and the product ID - there CAN be multiple records for the same customer, and even multiple records with the same customer and product.
I need to come up with a query that can return the amount of customers who bought between X and X distinct products - for example, 3 customers bought less then 5 different products, 10 bought from 5-10 different products, 1 bought over 10 different products.
I'm pretty sure this has something to do with derived tables, but advanced SQL is a new fairly craft to me. Any help would be appreciated!
Try this:
SELECT T1.products_bought, COUNT(T2.cnt) AS total
FROM (
SELECT '<5' AS products_bought, 0 AS a, 4 AS b
UNION ALL
SELECT '5-10', 5, 10
UNION ALL
SELECT '>10', 11, 999999
) T1
LEFT JOIN
(
SELECT COUNT(DISTINCT ProductID) AS cnt
FROM ORDERS
GROUP BY CustomerID
) T2
ON T2.cnt BETWEEN T1.a AND T1.b
GROUP BY a, b
Result:
products_bought total
<5 3
5-10 0
>10 0